Message Board

Respected readers, authors and reviewers, you can add comments to this page on any questions about the contribution, review, editing and publication of this journal. We will give you an answer as soon as possible. Thank you for your support!

Full name
E-mail
Phone number
Title
Message
Verification Code
Zhao Jiechen, Yang Qinghua, Cheng Bin, Wang Ning, Hui Fengming, Shen Hui, Han Xiaopeng, Zhang Lin, Timo Vihma. Snow and land-fast sea ice thickness derived from thermistor chain buoy in the Prydz Bay, Antarctic[J]. Haiyang Xuebao, 2017, 39(11): 115-127. doi: 10.3969/j.issn.0253-4193.2017.11.011
Citation: Zhao Jiechen, Yang Qinghua, Cheng Bin, Wang Ning, Hui Fengming, Shen Hui, Han Xiaopeng, Zhang Lin, Timo Vihma. Snow and land-fast sea ice thickness derived from thermistor chain buoy in the Prydz Bay, Antarctic[J]. Haiyang Xuebao, 2017, 39(11): 115-127. doi: 10.3969/j.issn.0253-4193.2017.11.011

Snow and land-fast sea ice thickness derived from thermistor chain buoy in the Prydz Bay, Antarctic

doi: 10.3969/j.issn.0253-4193.2017.11.011
  • Received Date: 2016-11-26
  • Rev Recd Date: 2017-06-27
  • Snow and sea ice in the polar regions react strongly to the climate change. Sea ice thickness is also a critical parameter for navigation in the polar oceans. In this paper, we present measurements taken using a high-resolution thermistor chain (SIMBA) to monitor snow and ice thickness in the land-fast ice zone in winters 2014 and 2015 in the Prydz Bay outside Zhongshan Station, Antarctic. SIMBA measures vertical temperature profiles 4 times a day as well as two daily sensor heating temperature profiles in 60 s and 120 s. Snow and ice thickness were derived (a) manually on the basis of different linear temperature gradients in air, snow, ice, and water, and (b) applying an automatic algorithm based on temporal variation of the temperature gradients associated with analyses of heating temperature response statistics. Compared with borehole in situ measurements, the manually estimated ice thickness had a mean bias and RMSE of 2.1 cm and 6.4 cm in 2014, 4.3 cm and 6.5 cm in 2015. The mean bias and RMSE of algorithm-based ice thickness was-6.8 cm and 6.4 cm in 2014, 4.5 cm and 6.6 cm in 2015. The snow thickness was estimated only for winter 2015, and the mean bias and RMSE of manual and algorithm methods were 0.5 cm and 8.5 cm, 4.7 cm and 10.8 cm, respectively. The manual estimation, in general, yielded better results. Our results reveal that SIMBA is capable to monitor snow and ice thickness in the Prydz Bay, Antarctic.
  • loading
  • Perovich D K, Richtermenge J A, Light B, et al. Thin and thinner: Sea ice mass balance measurements during SHEBA[J]. Journal of Geophysical Research, 2003, 108: C38050.
    Giles K, Laxon S W, Ridout A L. Circumpolar thinning of Arctic sea ice following the 2007 record ice extent minimum[J]. Geophysical Research Letters, 2008, 35(22): L22502.
    Parkinson C L, Cavalieri D J. Antarctic sea ice variability and trends, 1979-2010[J]. The Cryosphere, 2012, 6(4): 871-880.
    Spreen G, Kaleschke L. Sea ice remote sensing using AMSR-E 89-GHz channels[J]. Journal of Geophysical Research, 2008, 113(C2): C02S03.
    Laxon S W, Giles K, Ridout A L, et al. CryoSat-2 estimates of Arctic sea ice thickness and volume[J]. Geophysical Research Letters, 2013, 40(4): 732-737.
    Kurtz N T, Markus T. Satellite observations of Antarctic sea ice thickness and volume[J]. Journal of Geophysical Research, 2012, 117(C8): C08025.
    Holland P R, Bruneau N, Enright C, et al. Modeled trends in Antarctic sea ice thickness[J]. Journal of Climate, 2014, 27(10):3784-3801.
    杨清华, 刘骥平, 张林, 等. 南极沿岸固定冰观测与研究述评[J]. 水科学进展, 2013, 24(5): 741-749. Yang Qinghua, Liu Jiping, Zhang Lin, et al. Review of Antarctic landfast sea ice observations[J]. Advances in Water Science, 2013, 24(5): 741-749.
    Cheng B, Vihma T, Rontu L, et al. Evolution of snow and ice temperature, thickness and energy balance in Lake Orajärvi, northern Finland[J]. Tellus A, 2014, 66(1): 21564.
    Cheng B, Vihma T, Zhao J C. Analyses snow and ice thickness from high resolution thermistor temperature profiles[C]//Proceedings of the 1st Pan-Eurasian Experiment (PEEX) Conference, 2015.
    Lei R, Li Z, Zhang Z, et al. Annual cycle of landfast sea ice in Prydz Bay, east Antarctica[J]. Journal of Geophysical Research, 2010, 115: C02006.
    Jackson K, Wilkinson J P, Maksym T, et al. A novel and low-cost sea ice mass balance buoy[J]. Journal of Atmospheric and Oceanic Technology, 2013, 30(11): 2676-2688.
    杨清华, 张林, 李春花, 等. 南极中山站气象要素变化特征分析[J]. 海洋通报, 2010, 29(6): 601-607. Yang Qinghua, Zhang Lin, Li Chunhua, et al. Analysis on the variation tendencies of meteorological elements at Zhongshan Station, Antarctica[J]. Marine Science Bulletin, 2010, 29(6): 601-607.
    Hoppmann M, Nicolaus M, Hunkeler P, et al. Seasonal evolution of an ice-shelf influenced fast-ice regime, derived from an autonomous thermistor chain[J]. Journal of Geophysical Research: Oceans, 2015, 120(3): 1703-1724.
    Tian Z, Cheng B, Zhao J C, et al. Observed and modeled snow and ice thickness in the Arctic Ocean with CHINARE buoy data[J]. Acta Oceanologica Sinica, 2017, 36(7):1-10.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Article views (1314) PDF downloads(513) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return